ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA
Grasslands are important ecosystems to provide various economic and ecological services. In Japan, grassland of <i>Miscanthus sinensis</i>, which is a tall, perennial grass species, has been one of the symbolic landscape and require efficient monitoring system for better management. In t...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-08-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/497/2020/isprs-annals-V-3-2020-497-2020.pdf |
| _version_ | 1811292120137334784 |
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| author | N. Miura S. Yamada Y. Niwa |
| author_facet | N. Miura S. Yamada Y. Niwa |
| author_sort | N. Miura |
| collection | DOAJ |
| description | Grasslands are important ecosystems to provide various economic and ecological services. In Japan, grassland of <i>Miscanthus sinensis</i>, which is a tall, perennial grass species, has been one of the symbolic landscape and require efficient monitoring system for better management. In this study, canopy height and biomass of <i>M. sinensis</i> in semi-natural grassland are estimated using time-series UAV imagery and structure from motion (SfM) and multi-view stereo (MVS) technique. The effect of complex topography on estimation of the canopy height and biomass is analysed as well as monitoring growth of <i>M. sinensis</i>. The results showed that UAV derived maximum canopy height and biomass have significant correlation with vegetation survey data producing <i>R</i><sup>2</sup> value of 0.92 and 0.78, respectively. The effect of topographic landforms was found to be smallest on top of the hill, followed by slope. Valley-like sunken place was affected worst. Analysis using time-series UAV data revealed that growth of <i>M. sinensis</i> is different between the landforms, and the best time to estimate its biomass was different between them. In order to accurately estimate canopy height and biomass of tall grass species such as <i>M. sinensis</i>, it is important to take plant growth stage into consideration as well as topographic landforms. |
| first_indexed | 2024-04-13T04:40:29Z |
| format | Article |
| id | doaj.art-5a1d5b0207734de4bea72fc905570bef |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-04-13T04:40:29Z |
| publishDate | 2020-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-5a1d5b0207734de4bea72fc905570bef2022-12-22T03:02:01ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502020-08-01V-3-202049750310.5194/isprs-annals-V-3-2020-497-2020ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATAN. Miura0S. Yamada1Y. Niwa2Graduate School of Agricultural and Life Sciences, the University of Tokyo, JapanFaculty of Agriculture, Tokyo University of Agriculture, JapanGraduate School of Agricultural and Life Sciences, the University of Tokyo, JapanGrasslands are important ecosystems to provide various economic and ecological services. In Japan, grassland of <i>Miscanthus sinensis</i>, which is a tall, perennial grass species, has been one of the symbolic landscape and require efficient monitoring system for better management. In this study, canopy height and biomass of <i>M. sinensis</i> in semi-natural grassland are estimated using time-series UAV imagery and structure from motion (SfM) and multi-view stereo (MVS) technique. The effect of complex topography on estimation of the canopy height and biomass is analysed as well as monitoring growth of <i>M. sinensis</i>. The results showed that UAV derived maximum canopy height and biomass have significant correlation with vegetation survey data producing <i>R</i><sup>2</sup> value of 0.92 and 0.78, respectively. The effect of topographic landforms was found to be smallest on top of the hill, followed by slope. Valley-like sunken place was affected worst. Analysis using time-series UAV data revealed that growth of <i>M. sinensis</i> is different between the landforms, and the best time to estimate its biomass was different between them. In order to accurately estimate canopy height and biomass of tall grass species such as <i>M. sinensis</i>, it is important to take plant growth stage into consideration as well as topographic landforms.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/497/2020/isprs-annals-V-3-2020-497-2020.pdf |
| spellingShingle | N. Miura S. Yamada Y. Niwa ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA |
| title_full | ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA |
| title_fullStr | ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA |
| title_full_unstemmed | ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA |
| title_short | ESTIMATION OF CANOPY HEIGHT AND BIOMASS OF <i>MISCANTHUS SINENSIS</i> IN SEMI-NATURAL GRASSLAND USING TIME-SERIES UAV DATA |
| title_sort | estimation of canopy height and biomass of i miscanthus sinensis i in semi natural grassland using time series uav data |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/497/2020/isprs-annals-V-3-2020-497-2020.pdf |
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